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基于嵌入理论奇异值分解的眼眶空间自动分区。

Automatic Partition of Orbital Spaces Based on Singular Value Decomposition in the Context of Embedding Theories.

机构信息

Department of Chemistry , Virginia Tech , Blacksburg , Virginia 24060 , United States.

出版信息

J Chem Theory Comput. 2019 Feb 12;15(2):1053-1064. doi: 10.1021/acs.jctc.8b01112. Epub 2019 Jan 23.

Abstract

We present a simple approach for orbital space partitioning to be employed in the projection-based embedding theory developed by Goodpaster and co-workers [ Manby et al. J. Chem. Theory Comput. 2012 , 8 , 2564 ]. Once the atoms are assigned to the desired subspaces, the molecular orbitals are projected onto the atomic orbitals centered on active atoms and then singular value decomposed. The right singular vectors are used to rotate the initial molecular orbitals, taking the largest gap in the singular values spectrum to define the most suitable partition of the occupied orbital space. This scheme is free from numerical parameters, contrary to the Mulliken charge threshold or the completeness criterion previously used. The performance of this new prescription is assessed in a test set of several distinct reactions, the deprotonation of decanoic acid, the Diels-Alder reaction of 1,3-butadiene and octadecanonaene, the torsional potential of a retinal derivative, and the critical points along the reaction coordinate of an example of the Menshutkin S2 reaction inside a carbon nanotube.

摘要

我们提出了一种简单的轨道空间分区方法,用于 Goodpaster 及其同事开发的基于投影的嵌入理论[Manby 等人,J. Chem. Theory Comput. 2012, 8, 2564]。一旦原子被分配到所需的子空间,分子轨道就会被投影到以活性原子为中心的原子轨道上,然后进行奇异值分解。右奇异向量用于旋转初始分子轨道,以奇异值谱中的最大间隙来定义最适合占据轨道空间的分区。与以前使用的 Mulliken 电荷阈值或完备性标准不同,该方案没有数值参数。这种新方案的性能在一组不同反应的测试集中进行了评估,包括癸酸的去质子化、1,3-丁二烯和十八碳-9-烯的 Diels-Alder 反应、视黄醛衍生物的扭转势能以及 Menshutkin S2 反应在碳纳米管内沿着反应坐标的临界点。

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